The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a novel automatic method to de- termine the appropriate age of video content in a video database geared to children. When combined with classical features the system improves accuracy rate for more than 0.13 for the same type of classifier in determining the age category of content for children between the ages of three to six years old. The main novelty of the system is that it...
Most fMRI studies using Multi-Voxel Pattern Analysis (MVPA) restrict these analyses to merely one spatial scale. However, recently [1] used a multi-spatial scale method combining three levels of MVPA analysis on fMRI data from 16 subjects who performed a number comparison task: whole-brain MVPA, Regions Of Interest (ROI) based MVPA, and a small radius searchlight. The results of [1] clearly demonstrated...
Model scoring in latent factor models is essential for a broad spectrum of applications such as clustering, change point detection or model order estimation. In a Bayesian setting, model selection is achieved via computation of the marginal likelihood. However, this is a typically challenging task as it involves calculation of a multidimensional integral over all the latent variables. In this paper,...
The smart grid initiative requires self-healing distribution systems with more accurate fault detection and classification techniques. A multi-sensor feeder-level fault detection and classification algorithm is presented in this work, based on the techniques of the support vector machine and the principal components. An IEEE 34-bus feeder model with dynamic loading conditions is used to evaluate the...
In this paper we are interested in exploiting self-similarity information for discriminative image denoising. Towards this goal, we propose a simple yet powerful denoising method based on transductive Gaussian processes, which introduces self-similarity in the prediction stage. Our approach allows to build a rich similarity measure by learning hyper parameters defining multi-kernel combinations. We...
Being one of the primitives of Internet measurement and security scanning, active probing has numerous applications. While the majority of existing probing tools were designed for PCs/servers, the wide adoption of mobile devices and embedded systems bring new requirements and challenges to active probing, for example, the limited resources in those devices may affect active probing's accuracy and...
We introduce the Partial View Heat Kernel (PVHK) descriptor, for the purpose of 3D object representation and recognition from partial views, assumed to be partial object surfaces under self occlusion. PVHK describes partial views in a geometrically meaningful way, i.e., by establishing a unique relation between the shape of the view and the descriptor. PVHK is also stable with respect to sensor noise...
Wireless capsule endoscopy (WCE) is useful to detect abnormal area in human digestive tract. However, many WCE images have low quality such as rather dark and noisy. Smoothing is an effective way to removing noise and to enhance the images. However, smoothing has a drawback since it can damage the image features. Studies had shown that anisotropic diffusion is a technique used to reduce image noise...
The decentralized detection of event regions is a fundamental building block for monitoring and reasoning about spatial phenomena. However, so far the problem has been studied almost exclusively for static networks. This study proposes a theoretical framework with which we can analyze event detection algorithms suitable for large-scale mobile networks. Our analysis builds on the following insight:...
In this paper, an improved method of constructing FBP2D (3D) based variance map is introduced and implemented successfully. Accordingly, a quadratic version of distance driven back-projector (DD) compatible with variance reconstruction is developed to exploit fully the features of DD. As a result, the calculated variance is validated and shows an excellent match with ground truth.
An inherent characteristic of coherent imaging, including ultrasound imaging, is the presence of speckle noise with strong inhomogeneities. It makes modelling difficult and therefore it complicates their processing. However, it has been previously shown that these images respond well to local phase-based methods. Furthermore, the recent re-emergence of the α scale spaces theory opens new possibilities...
Currently there have been many QA systems for SMS queries with large archive but none is addressing the most commonly present phonetic noise in SMS queries. However, Finding similar questions in the QA archive is not trivial especially in the presence of phonetic noise. This paper proposes a solution to handle the noise including phonetic noise. We present a technique to handle semantic variation...
The recent advances in sparse representations of images have achieved outstanding results in terms of denoising and restoration; but removal of real and structured noise in digital video sequences remains a challenging problem. Based on this idea, the problem addressed in this paper proposes to improve the decision median filtering algorithm for denoising of video sequences corrupted with impulse...
In this paper, we present an automatic method for determining time-location of systolic peak in arterial blood pressure (ABP) signals. The method consists of four major steps: Gaussian derivative filtering, nonlinear peak amplification, Gaussian derivative based peak finding scheme, and peak position adjustment procedure. The method is tested and validated using the standard MIT-BIR Polysomnographic...
We propose a method for recovering the parameters of periodic signals with finite rate of innovation sampled using a raised cosine pulse. We show that the proposed method exhibits the same numerical stability as existing methods of its type, and we investigate the effect of oversampling on the performance of our method in the presence of noise. Our method can also be applied to non-periodic signals...
A new shadowed c-means clustering based image segmentation method is proposed in this paper. By including the local spatial information in shadowed c-means algorithm and mapping the original data into a high dimensional space via kernel method, we propose the Kernel Spatial Shadowed C-Means (KSSCM) clustering algorithm for image segmentation problems. The KSSCM based approach shows better performance...
The radial sand ridge of south yellow sea is the biggest in the world. It has unique combination of factors in dynamic geomorphology. In order to study the trend prediction of beach evolution in radial sand ridge, waterline, which is the best expression for the complex terrain of the seashore intertidal region, is indispensible for research in the region. The study gain the best method to extract...
Non-local Means(NLM) is increasingly popular in image denoising. In this paper, the nonlocal structure similarity of images obtained by the iteration is exploited. By combining the nonlocal similarity constraints with total variation regularization, an iterative regularized variational model is proposed, in which the nonlocal weight depends on local structure of patches. An effective algorithm is...
In viewpoint of noncausal and non-integeral dimensional signal processing, a novel and computationally efficient, fractional zero-phase FIR filter is proposed by a definition of Liouville-Weyl fractional integrator. Based on two commonly used Liouville and Weyl fractional integral definitions, we present Liouville fractional linear phase delay filter and Weyl fractional linear phase lead filter. Thanks...
In public e-mail systems, it is possible to solicit annotation help from users to train spam detection models. For example, we can occasionally ask a selected user to annotate whether a randomly selected message destined for their inbox is spam or not spam. Unfortunately, it is also possible that the user being solicited is an internal threat and has malicious intent. Similar to an adversary, such...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.